System and method for automatically braking ramp sliding based on instructional car

Abstract

The invention provides an automatic braking system and method based on ramp sliding of a learner-driven vehicle. The system at least comprises a sensor module, an intelligent control unit, a braking executing mechanism and a human-computer interaction interface. The invention provides an automatic braking system for ramp sliding of an instructional car. Core components of the automatic braking system comprise a sensor module, an intelligent control unit, a braking executing mechanism and a human-computer interaction interface. The four key parts cooperatively operate to jointly construct an efficient and accurate automatic detection and brake control system. The system deeply integrates a leading-edge sensor technology, an intelligent control algorithm and a brake execution mechanism, and aims to comprehensively monitor and effectively prevent a car sliding phenomenon possibly occurring in a hill starting practice process of a trainee, and finally ensures that the safety and the high efficiency of a training activity are comprehensively realized.

Description

Technical Field

[0001] The invention relates to the technical field of automobile driving training safety, and in particular to a system and method based on automatic braking of a training vehicle on a slope. Background Art

[0002] In the training process of motor vehicle drivers, parking and starting on a slope is undoubtedly one of the core skills that every trainee must master. It is not only the focus of learning, but also a difficult point that challenges trainees to master skills. However, when a vehicle is driving on a slope, especially uphill or downhill, it is very easy to be affected by gravity and have a downward trend. Especially when the trainee is not proficient in vehicle control, the clutch and throttle are not well coordinated, or when they are under psychological pressure, the vehicle will slip more significantly. Slipping when starting on a slope may not only damage the vehicle, but also pose a potential safety threat to the trainee and the surrounding environment.

[0003] To address this problem, traditional training vehicles mainly rely on the instructor's immediate verbal guidance and manual intervention to deal with the vehicle sliding on the slope. This requires the instructor to pay close attention to the trainee's operation throughout the process and take prompt action when he detects signs of sliding, such as emergency braking or assisting the trainee to adjust the operation. However, this method has significant limitations: the instructor's reaction speed and accuracy may be affected by external factors such as distraction and physical fatigue; at the same time, manual intervention often cannot ensure timely and accurate stopping of the vehicle sliding, which increases the possibility of accidents.

[0004] In view of this, technical personnel in this field urgently need to develop an automatic braking control system and method for a vehicle rolling down a slope based on a training vehicle to overcome the shortcomings of the existing technology and ensure the safety and efficiency of the training process. Summary of the invention

[0005] In view of the shortcomings of the current related prior art, the present invention provides a system and method based on automatic braking of a training vehicle when it rolls down a slope, so as to solve the problems existing in the prior art and ensure the safety and efficiency of the training process.

[0006] To achieve the above-mentioned object, the first aspect of the present invention provides a system for automatic braking of a training vehicle on a slope, which at least includes a sensor module, an intelligent control unit, a brake actuator and a human-computer interaction interface; wherein the sensor module at least includes an acceleration sensor, an inclination sensor and a wheel speed sensor; the human-computer interaction interface is used to realize interactive communication between a person and the automatic braking system; The acceleration sensor is deployed on the vehicle and is used to measure the acceleration change of the vehicle in each axial direction; The tilt sensor is installed on the vehicle and is used to determine whether the vehicle is on a ramp and the degree of inclination of the ramp, and to measure the tilt angle and tilt direction of the vehicle in real time; The wheel speed sensor is used to monitor the rotation speed of the wheel; The intelligent control unit is responsible for receiving data from the sensor module and performing real-time processing and analysis; The brake actuator is connected to the brake system of the training vehicle and receives a brake command from the intelligent control unit; it executes a braking action to quickly reduce the vehicle speed or completely stop the vehicle to prevent the occurrence of a rolling accident.

[0007] Furthermore, the sensor module continuously monitors multiple key parameters of the vehicle, including one or more of acceleration, inclination angle and wheel speed, and transmits the acquired data to the intelligent control unit; after receiving the data, the intelligent control unit immediately activates its built-in intelligent control algorithm to conduct a comprehensive and in-depth analysis of the data to accurately determine whether the vehicle is currently in a rolling state; Once the intelligent control unit confirms that the vehicle is indeed in a slipping state, it will quickly and decisively issue a clear braking command to the brake actuator; after receiving the command, the brake actuator will immediately activate the braking system and implement effective braking measures on the vehicle, thereby promptly stopping the vehicle from slipping further and ensuring the safety and stability of the vehicle.

[0008] Another aspect of the present invention provides a method for automatic braking of a training vehicle when the training vehicle rolls down a slope, the method adopts the training vehicle collision prediction system of claim 1 or 2; the implementation method thereof comprises at least the following steps: Step S1, the vehicle is driven to enter a slope practice mode; Step S2, detecting whether the vehicle is on a ramp; Step S3: Whether the vehicle entering the vehicle slips; Step S4: If the vehicle is slipping, the brake system is automatically triggered to stop the vehicle from slipping; Step S5: The system issues a safety reminder, and the trainee regains control of the vehicle and continues the slope practice or ends the practice.

[0009] Furthermore, in step S3, the specific implementation method is: Step S31, the sensor module continuously monitors multiple key parameters of the vehicle and transmits the acquired data to the intelligent control unit; Step S32: After receiving these data, the intelligent control unit will immediately start its built-in intelligent control algorithm to conduct a comprehensive and in-depth analysis of the data to accurately determine whether the vehicle is currently in a rolling state.

[0010] Furthermore, in step S4, the specific implementation method is: once the intelligent control unit confirms that the vehicle is indeed in a slipping state, it will quickly send a clear braking command to the brake actuator; after receiving the command, the brake actuator will immediately activate the braking system and implement effective braking measures on the vehicle, thereby promptly stopping the vehicle from slipping further and ensuring the safety and stability of the vehicle.

[0011] Furthermore, the logic of the intelligent control unit to determine whether the vehicle is in a rolling state is as follows: The intelligent control unit monitors the data transmitted by the sensor module in real time, including data from the acceleration sensor, inclination sensor and wheel speed sensor; The intelligent control unit will conduct a comprehensive analysis of these data according to the preset sliding judgment logic; at least including: if the acceleration sensor shows that the acceleration of the vehicle suddenly decreases, the inclination sensor shows that the inclination angle of the vehicle changes, and the wheel speed sensor shows that the wheel speed suddenly decreases, these comprehensive information can help determine that the vehicle is sliding; The intelligent control unit will calculate and judge through complex algorithms based on the changes in these parameters to determine whether the vehicle is actually in a rolling state.

[0012] If the judgment result indicates that the vehicle is slipping, the intelligent control unit will immediately generate a brake command and quickly send it to the brake actuator through the internal communication interface; After receiving the command, the brake actuator will immediately perform the braking action, thereby effectively preventing the vehicle from continuing to slide and ensuring the safety of the vehicle; through real-time monitoring and judgment by the intelligent control unit, the entire system can respond promptly to the dangerous situation of the vehicle sliding, thereby ensuring the safety of the vehicle and passengers.

[0013] Furthermore, the intelligent control algorithm integrated inside the intelligent control unit, based on the preset slipping judgment logic, comprehensively analyzes the changes in multiple parameters from the sensor module, including at least changes in acceleration, inclination angle and wheel speed, to accurately judge whether the vehicle is in a slipping state.

[0014] Furthermore, the acceleration parameter analysis logic is as follows: The acceleration sensor measures the acceleration changes of the vehicle in each axis, including longitudinal, lateral and vertical directions. During a normal ramp start, the vehicle will have a stable acceleration increase, indicating that the vehicle is accelerating smoothly. However, if the vehicle slides backward or rushes forward, the acceleration sensor will capture abnormal acceleration changes. If the vehicle slides backward, the longitudinal acceleration will become negative, that is, the acceleration direction is opposite to the vehicle's travel direction. If the vehicle rushes forward too violently, the longitudinal acceleration will increase abnormally. The analysis logic of the inclination parameters is as follows: The inclination sensor measures the vehicle's inclination angle and inclination direction in real time, which is crucial for determining whether the vehicle is on a slope and the degree of inclination of the slope. Under normal driving conditions, the vehicle's inclination angle should be kept within a small range. However, if the vehicle is on a slope, the inclination sensor will capture obvious changes in the inclination angle. At the same time, by monitoring the changes in the inclination direction, it can be determined whether the vehicle is going uphill or downhill, and whether the inclination angle is increasing, which means that the vehicle is slipping. The wheel speed parameter analysis logic is as follows: The wheel speed sensor monitors the rotation speed of the wheel to reflect the driving status of the vehicle; during a normal hill start, the wheel speed should gradually increase to keep pace with the vehicle's acceleration; however, if the vehicle rolls, the wheel speed will change abnormally; if the vehicle rolls backward, the wheel speed will gradually decrease or even stop; if the vehicle rushes forward too hard, the wheel speed will increase abnormally.

[0015] Furthermore, the intelligent control algorithm comprehensively analyzes the changes in the above three parameters to determine whether the vehicle is in a slipping state; the specific judgment logic is as follows: Abnormal acceleration judgment: If the longitudinal acceleration becomes negative or increases abnormally, it is preliminarily judged that the vehicle may be in a slipping state; Abnormal tilt judgment: If the tilt sensor captures a significant tilt angle change, and the tilt angle is increasing (indicating that the vehicle is rolling), it is further confirmed that the vehicle is in a rolling state; Abnormal wheel speed judgment: If the wheel speed changes abnormally, including gradually decreasing or abnormally accelerating, it will serve as an auxiliary judgment basis to enhance the confirmation of the vehicle's slipping state; Based on the changes in the above three parameters, the intelligent control algorithm can accurately determine whether the vehicle is in a slipping state; once it is confirmed that the vehicle is slipping, the intelligent control unit will immediately generate a braking command and send it to the brake actuator through the internal communication interface to execute the braking action to prevent the occurrence of slipping accidents.

[0016] The present invention adopts the above technical solution, which has at least the following beneficial effects: Compared with the traditional training car ramp start training, the ramp rollback automatic braking system based on the intelligent training system has significant advantages. First, the system can monitor the vehicle's driving status in real time and detect signs of rollback at the first time, so as to respond quickly and take measures to effectively avoid accidents.

[0017] Secondly, the system can reduce the workload of instructors, allowing them to focus more on teaching and psychological counseling for trainees, improving training efficiency and quality. Finally, the system can also provide trainees with real-time safety tips and teaching suggestions through a human-computer interaction interface, helping trainees better master hill start skills and improve driving safety.

[0018] The technical solution adopted by the present invention has the following significant beneficial effects: Compared with the traditional training method of starting on a slope with a training car, the automatic braking system for rolling on a slope based on the intelligent training system has obvious advantages. First and foremost, the system can continuously monitor the driving status of the vehicle. Once the initial signs of rolling are found, the response mechanism can be triggered immediately and the corresponding preventive measures can be quickly implemented, thereby effectively avoiding potential accident risks.

[0019] Secondly, the introduction of this system has significantly reduced the workload of coaches, allowing them to focus more on teaching guidance and psychological adjustment of trainees, thereby promoting the dual improvement of training efficiency and quality.

[0020] Furthermore, the system also incorporates a human-computer interaction interface, which can provide students with timely and specific safety warnings and teaching suggestions, helping students to achieve a deeper grasp of the skill area of ​​hill starting, thereby improving the overall level of driving safety.

[0021] Specifically, the automatic braking system for training vehicles on slopes proposed in the present invention has core components including a sensor module, an intelligent control unit, a brake actuator, and a human-computer interaction interface. These four key parts work together to build an efficient and accurate automatic detection and braking control system. The system deeply integrates cutting-edge sensor technology, intelligent control algorithms, and brake actuators, aiming to comprehensively monitor and effectively prevent the possible slipping of trainees during slope start practice, ultimately ensuring that the safety and efficiency of training activities are fully realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 The present invention is a flow chart of automatic braking of a training vehicle when the training vehicle rolls down a slope. DETAILED DESCRIPTION

[0024] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0025] In a first aspect, the present embodiment provides a system for automatic braking of a training vehicle on a slope, which comprises at least a sensor module, an intelligent control unit, a brake actuator and a human-machine interaction interface; wherein the sensor module comprises at least an acceleration sensor, an inclination sensor and a wheel speed sensor; and the human-machine interaction interface is used to realize interactive communication between a person and the automatic braking system; The acceleration sensor is deployed in a key position of the vehicle, namely the middle area of ​​the vehicle body. Its main function is to accurately measure and record the acceleration changes of the vehicle in each axis. Specifically, the acceleration sensor can play a key role in the driving process of the vehicle, especially in the scenario of starting on a slope. When the vehicle starts on a slope, if there is an abnormal phenomenon of sliding back or rushing forward, the acceleration sensor will quickly capture this abnormal acceleration change. By real-time monitoring and analysis of these data, the system can take corresponding measures in time to ensure the safe driving of the vehicle.

[0026] The tilt sensor is installed on the vehicle and is used to determine whether the vehicle is on a ramp and the degree of inclination of the ramp, and to measure the tilt angle and tilt direction of the vehicle in real time; The inclination sensor is a high-precision measuring device specially designed for installation on vehicles. It is placed in a key position that can accurately reflect the tilt state of the vehicle, usually on the side of the vehicle body. By monitoring and measuring the tilt angle and tilt direction of the vehicle in real time, the inclination sensor can provide detailed data about the current tilt state of the vehicle.

[0027] This sensor plays a vital role in ensuring the safe operation of the vehicle. For example, when a vehicle is parked on a ramp, the inclination sensor can accurately determine whether the vehicle is in a tilted state and the degree of inclination of the ramp. This is of great significance in preventing the vehicle from sliding or rolling over on the ramp. By monitoring the tilt state of the vehicle in real time, the driver can take corresponding safety measures in time to ensure the safety of the vehicle and passengers.

[0028] In addition, the inclination sensor also plays an important role in the dynamic driving process of the vehicle. It can monitor the inclination of the vehicle in real time when turning, accelerating or braking, helping the driver to better control the vehicle and improve driving safety and comfort. In short, the inclination sensor is an indispensable part of modern vehicles. It provides strong technical support for the safe operation of the vehicle by accurately measuring the inclination state of the vehicle.

[0029] The wheel speed sensor is a highly sophisticated device that is cleverly integrated into the vehicle's wheel speed sensor system. The main function of this system is to monitor and record the rotation speed of the wheel in real time to ensure that the vehicle can maintain optimal stability and safety during driving. The wheel speed sensor can provide detailed data on the movement status of the wheel through precise measurement and analysis.

[0030] Wheel speed sensors are particularly important during hill starts. When the vehicle is on a hill and ready to start, the sensors continuously monitor the rotation speed of the wheels. If the wheel speed changes suddenly, this can be an important sign that the vehicle may be about to roll, or is already in a state of rolling. In this case, the wheel speed sensor immediately sends an alert to the vehicle's electronic control system so that the driver can take timely measures to prevent the accident from happening. In this way, the wheel speed sensor not only improves the safety performance of the vehicle, but also provides the driver with more reliable and timely driving assistance information.

[0031] As the core component of the entire system, the intelligent control unit undertakes a vital task. It is responsible for receiving various types of data from the sensor module and processing and analyzing these data in real time. The intelligent control unit integrates advanced intelligent control algorithms based on pre-set slip judgment logic. By comprehensively considering the changes in multiple key parameters such as acceleration, inclination, wheel speed, etc., the intelligent control unit can accurately judge whether the vehicle is in a slip state.

[0032] Once the intelligent control unit confirms through its algorithm that the vehicle is slipping, it will take prompt action. The intelligent control unit will immediately generate a braking command to prevent the vehicle from slipping further. These braking commands are then quickly sent to the brake actuator through the communication interface inside the intelligent control unit. After receiving the command, the brake actuator will immediately perform the braking operation to ensure the safety of the vehicle. The entire process is completed in a very short time, ensuring timely response and safe braking of the vehicle in the slipping state.

[0033] The brake system is closely connected with the brake system of the training car, seamlessly connected, and can receive the brake command issued by the intelligent control unit in real time. When the intelligent control unit issues a brake command, the brake actuator will respond quickly and perform the braking action to ensure that the vehicle can quickly reduce its speed or stop completely, thereby effectively preventing the occurrence of a slipping accident. The brake actuator is seamlessly integrated with the existing brake system of the training car, ensuring the stability and reliability of the system. After receiving the brake command from the intelligent control unit, the brake actuator will quickly activate the brake system and effectively brake the vehicle. In addition, the brake actuator also has an intelligent adjustment function, which can flexibly adjust the braking force according to the severity of the slipping and the speed of the vehicle. In this way, no matter what the situation, the brake actuator can ensure that the vehicle stops safely and smoothly, maximizing driving safety.

[0034] As a preferred implementation, the sensor module in this embodiment continuously monitors multiple key parameters of the vehicle, including one or more of acceleration, inclination angle and wheel speed, and transmits the acquired data to the intelligent control unit; after receiving these data, the intelligent control unit will immediately start its built-in intelligent control algorithm to conduct a comprehensive and in-depth analysis of the data to accurately determine whether the vehicle is currently in a slipping state; once the intelligent control unit confirms that the vehicle is indeed in a slipping state, it will quickly and decisively issue a clear braking command to the brake actuator; after receiving the command, the brake actuator will immediately activate the brake system and implement effective braking measures on the vehicle, thereby promptly preventing the vehicle from further slipping and ensuring the safety and stability of the vehicle.

[0035] The second aspect of the present embodiment further provides a method for automatic braking of a training vehicle when the training vehicle rolls down a slope, the method adopting the above-mentioned training vehicle collision prediction system; the implementation method thereof at least comprises the following steps: Step S1, the vehicle is driven to enter a slope practice mode; Step S2, detecting whether the vehicle is on a ramp; Step S3: Whether the vehicle entering the vehicle slips; Step S4: If the vehicle is slipping, the brake system is automatically triggered to stop the vehicle from slipping; Step S5: The system issues a safety reminder, and the trainee regains control of the vehicle and continues the slope practice or ends the practice.

[0036] In step S3 of this embodiment, the specific implementation method is: Step S31, the sensor module continuously monitors multiple key parameters of the vehicle and transmits the acquired data to the intelligent control unit; Step S32: After receiving these data, the intelligent control unit will immediately start its built-in intelligent control algorithm to conduct a comprehensive and in-depth analysis of the data to accurately determine whether the vehicle is currently in a rolling state.

[0037] In step S4 of this embodiment, the specific implementation method is: once the intelligent control unit confirms that the vehicle is indeed in a slipping state, it will quickly send a clear braking command to the brake actuator; after receiving the command, the brake actuator will immediately activate the brake system and implement effective braking measures on the vehicle, thereby promptly preventing the vehicle from further slipping and ensuring the safety and stability of the vehicle.

[0038] The logic of the intelligent control unit in this embodiment to determine whether the vehicle is in a rolling state is as follows: The intelligent control unit monitors the data transmitted by the sensor module in real time, including data from the acceleration sensor, inclination sensor and wheel speed sensor; The intelligent control unit will conduct a comprehensive analysis of these data according to the preset sliding judgment logic; at least including: if the acceleration sensor shows that the acceleration of the vehicle suddenly decreases, the inclination sensor shows that the inclination angle of the vehicle changes, and the wheel speed sensor shows that the wheel speed suddenly decreases, these comprehensive information can help determine that the vehicle is sliding; The intelligent control unit will calculate and judge through complex algorithms based on the changes in these parameters to determine whether the vehicle is actually in a rolling state.

[0039] If the judgment result indicates that the vehicle is slipping, the intelligent control unit will immediately generate a brake command and quickly send it to the brake actuator through the internal communication interface; After receiving the command, the brake actuator will immediately perform the braking action, thereby effectively preventing the vehicle from continuing to slide and ensuring the safety of the vehicle; through real-time monitoring and judgment by the intelligent control unit, the entire system can respond promptly to the dangerous situation of the vehicle sliding, thereby ensuring the safety of the vehicle and passengers.

[0040] As a preferred implementation, the intelligent control algorithm integrated inside the intelligent control unit in this embodiment, based on the preset slipping judgment logic, comprehensively analyzes the changes in multiple parameters from the sensor module, including at least changes in acceleration, inclination angle and wheel speed, to achieve accurate judgment on whether the vehicle is in a slipping state.

[0041] As a preferred implementation, the acceleration parameter analysis logic in this embodiment is as follows: The acceleration sensor measures the acceleration changes of the vehicle in each axis, including longitudinal, lateral and vertical directions. During a normal ramp start, the vehicle will have a stable acceleration increase, indicating that the vehicle is accelerating smoothly. However, if the vehicle slides backward or rushes forward, the acceleration sensor will capture abnormal acceleration changes. If the vehicle slides backward, the longitudinal acceleration will become negative, that is, the acceleration direction is opposite to the vehicle's travel direction. If the vehicle rushes forward too violently, the longitudinal acceleration will increase abnormally. The analysis logic of the inclination parameters is as follows: The inclination sensor measures the vehicle's inclination angle and inclination direction in real time, which is crucial for determining whether the vehicle is on a slope and the degree of inclination of the slope. Under normal driving conditions, the vehicle's inclination angle should be kept within a small range. However, if the vehicle is on a slope, the inclination sensor will capture obvious changes in the inclination angle. At the same time, by monitoring the changes in the inclination direction, it can be determined whether the vehicle is going uphill or downhill, and whether the inclination angle is increasing, which means that the vehicle is slipping. The wheel speed parameter analysis logic is as follows: The wheel speed sensor monitors the rotation speed of the wheel to reflect the driving status of the vehicle; during a normal hill start, the wheel speed should gradually increase to keep pace with the vehicle's acceleration; however, if the vehicle rolls, the wheel speed will change abnormally; if the vehicle rolls backward, the wheel speed will gradually decrease or even stop; if the vehicle rushes forward too hard, the wheel speed will increase abnormally.

[0042] In this embodiment, a preferred intelligent control algorithm is adopted, which performs a comprehensive analysis on three key parameters of the vehicle to determine whether the vehicle is in a rolling state. Specifically, the judgment logic can be described in detail as follows: First, abnormal acceleration is judged: when the longitudinal acceleration sensor detects that the acceleration value becomes negative or increases abnormally, it is preliminarily judged that the vehicle may be in a slipping state. This judgment is based on the principle of physics, that is, under normal driving conditions, the acceleration of the vehicle should be positive or a relatively stable zero value, while negative or abnormally increased acceleration usually indicates that the vehicle is losing power or being acted upon by external forces, and may be slipping.

[0043] Secondly, make an abnormal tilt judgment: when the tilt sensor captures a significant tilt angle change, and this tilt angle continues to increase, it is further confirmed that the vehicle is in a rolling state. This judgment is based on the fact that during the rolling process, due to the effect of gravity, the tilt angle will gradually increase, and the sensor can capture this change, which can serve as strong evidence of the rolling state.

[0044] Finally, make a judgment on abnormal wheel speed: If the wheel speed sensor detects an abnormal change in wheel speed, including a gradual decrease in speed or an abnormal increase in speed, this change will be used as an auxiliary basis for judgment to enhance the confirmation of the vehicle's slipping state. Abnormal changes in wheel speed usually indicate that there is a problem with the vehicle's power system or that it is affected by external forces, resulting in abnormal wheel speed, which can be used as an auxiliary basis for judging the slipping state.

[0045] Based on the changes in the above three parameters, the intelligent control algorithm can accurately determine whether the vehicle is in a slipping state. Once it is confirmed through comprehensive analysis that the vehicle is slipping, the intelligent control unit will immediately generate a braking command and send it to the brake actuator through the internal communication interface to execute the braking action, thereby effectively preventing the occurrence of slipping accidents. The application of this intelligent control algorithm not only improves the safety performance of the vehicle, but also ensures stability and reliability during driving.

[0046] The present invention adopts the above technical solution, which has at least the following beneficial effects: Compared with the traditional training car ramp start training, the ramp rollback automatic braking system based on the intelligent training system has significant advantages. First, the system can monitor the vehicle's driving status in real time and detect signs of rollback at the first time, so as to respond quickly and take measures to effectively avoid accidents.

[0047] Secondly, the system can reduce the workload of instructors, allowing them to focus more on teaching and psychological counseling for trainees, improving training efficiency and quality. Finally, the system can also provide trainees with real-time safety tips and teaching suggestions through a human-computer interaction interface, helping trainees better master hill start skills and improve driving safety.

[0048] When students practice hill start on the training car, the sensor module will continuously monitor various key parameters such as the vehicle's acceleration, inclination angle, and wheel speed. These data will be transmitted to the intelligent control unit in real time for further analysis and processing. After receiving these data, the intelligent control unit will use advanced intelligent control algorithms to conduct in-depth analysis of the data to determine whether the vehicle is in a state of slipping. Once it is confirmed that the vehicle has signs of slipping, the intelligent control unit will immediately send a brake command to the brake actuator.

[0049] After receiving the command, the brake actuator will quickly activate the brake system and effectively brake the vehicle to prevent it from rolling. At the same time, the system will provide real-time safety tips and teaching suggestions to students through the human-computer interaction interface. These tips and suggestions are designed to help students improve their operating skills, enhance their safety awareness, and thus improve the overall learning effect.

[0050] The method and system for automatic braking of a training vehicle on a slope provided in this embodiment have the following significant benefits: 1. Good safety: By automatically detecting and preventing the vehicle from slipping in time, safety accidents caused by the vehicle slipping can be effectively avoided, greatly improving the safety of driving training.

[0051] 2. High real-time performance: The system can monitor the vehicle status in real time and respond quickly to vehicle slipping situations, effectively avoiding accidents caused by slow response.

[0052] 3. High accuracy: The system combines multiple sensor data and intelligent control algorithms to improve the accuracy of the judgment of the slipping state and reduce the cases of misjudgment and missed judgment.

[0053] 4. Teaching assistance: Provide targeted teaching suggestions and safety tips through the human-computer interaction interface to help students better understand the skills of starting on a hill, thereby improving learning outcomes.

[0054] 5. Reduce the workload of coaches: It reduces the manual intervention of coaches in slope training, improves training efficiency, and reduces the workload of coaches.

[0055] 6. Enhance students’ learning experience: Through timely safety tips and teaching suggestions, students can better master the skills of starting on a hill, which improves their learning experience and satisfaction.

[0056] Although the embodiments of the present invention have been shown and described above, it will be appreciated that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, substitute and vary the above embodiments within the scope of the present invention.

Claims

1. A system based on automatic braking of a training vehicle when it rolls down a slope, characterized in that: It at least includes a sensor module, an intelligent control unit, a brake actuator and a human-machine interaction interface; wherein the sensor module at least includes an acceleration sensor, an inclination sensor and a wheel speed sensor; the human-machine interaction interface is used to realize interactive communication between a person and the automatic brake system; The acceleration sensor is deployed on the vehicle and is used to measure the acceleration change of the vehicle in each axial direction; The tilt sensor is installed on the vehicle and is used to determine whether the vehicle is on a ramp and the degree of inclination of the ramp, and to measure the tilt angle and tilt direction of the vehicle in real time; The wheel speed sensor is used to monitor the rotation speed of the wheel; The intelligent control unit is responsible for receiving data from the sensor module and performing real-time processing and analysis; The brake actuator is connected to the brake system of the training vehicle and receives a brake command from the intelligent control unit; it executes a braking action to quickly reduce the vehicle speed or completely stop the vehicle to prevent the occurrence of a rolling accident.

2. The training vehicle collision prediction system according to claim 1, characterized in that: The sensor module continuously monitors multiple key parameters of the vehicle, including one or more of acceleration, inclination angle and wheel speed, and transmits the acquired data to the intelligent control unit; after receiving the data, the intelligent control unit immediately activates its built-in intelligent control algorithm to conduct a comprehensive and in-depth analysis of the data to accurately determine whether the vehicle is currently in a rolling state; Once the intelligent control unit confirms that the vehicle is indeed in a slipping state, it will quickly and decisively issue a clear braking command to the brake actuator; after receiving the command, the brake actuator will immediately activate the braking system and implement effective braking measures on the vehicle, thereby promptly stopping the vehicle from slipping further and ensuring the safety and stability of the vehicle.

3. A method for automatic braking of a training vehicle when it slides down a slope, characterized in that: The method adopts the training vehicle collision prediction system described in claim 1 or 2; its implementation method comprises at least the following steps: Step S1, the vehicle is driven to enter a slope practice mode; Step S2, detecting whether the vehicle is on a ramp; Step S3: Whether the vehicle entering the vehicle slips; Step S4: If the vehicle is slipping, the brake system is automatically triggered to stop the vehicle from slipping; Step S5: The system issues a safety reminder, and the trainee regains control of the vehicle and continues the slope practice or ends the practice.

4. The method according to claim 3, characterized in that: In step S3, the specific implementation method is: Step S31, the sensor module continuously monitors multiple key parameters of the vehicle and transmits the acquired data to the intelligent control unit; Step S32: After receiving these data, the intelligent control unit will immediately start its built-in intelligent control algorithm to conduct a comprehensive and in-depth analysis of the data to accurately determine whether the vehicle is currently in a rolling state.

5. The method according to claim 4, characterized in that: In step S4, the specific implementation method is: once the intelligent control unit confirms that the vehicle is indeed in a slipping state, it will quickly send a clear braking command to the brake actuator; after receiving the command, the brake actuator will immediately activate the brake system and implement effective braking measures on the vehicle, thereby promptly preventing the vehicle from further slipping and ensuring the safety and stability of the vehicle.

6. The method according to any one of claims 3 to 5, characterized in that: The intelligent control algorithm integrated inside the intelligent control unit is based on the preset slipping judgment logic and comprehensively analyzes the changes in multiple parameters from the sensor module, including at least changes in acceleration, inclination angle and wheel speed, to accurately judge whether the vehicle is in a slipping state.

7. The method according to claim 6, characterized in that: The logic of acceleration parameter analysis is as follows: The acceleration sensor measures the acceleration changes of the vehicle in each axis, including longitudinal, lateral and vertical directions. During a normal ramp start, the vehicle will have a stable acceleration increase, indicating that the vehicle is accelerating smoothly. However, if the vehicle slides backward or rushes forward, the acceleration sensor will capture abnormal acceleration changes. If the vehicle slides backward, the longitudinal acceleration will become negative, that is, the acceleration direction is opposite to the vehicle's travel direction. If the vehicle rushes forward too violently, the longitudinal acceleration will increase abnormally. The analysis logic of the inclination parameters is as follows: The inclination sensor measures the vehicle's inclination angle and inclination direction in real time, which is crucial for determining whether the vehicle is on a slope and the degree of inclination of the slope. Under normal driving conditions, the vehicle's inclination angle should be kept within a small range. However, if the vehicle is on a slope, the inclination sensor will capture obvious changes in the inclination angle. At the same time, by monitoring the changes in the inclination direction, it can be determined whether the vehicle is going uphill or downhill, and whether the inclination angle is increasing, which means that the vehicle is slipping. The wheel speed parameter analysis logic is as follows: The wheel speed sensor monitors the rotation speed of the wheel to reflect the driving status of the vehicle; during normal ramp starting, the wheel speed should gradually increase to keep pace with the acceleration of the vehicle; However, if the vehicle rolls, the wheel speed will change abnormally; If the vehicle slides backward, the wheel speed will gradually decrease or even stop; if the vehicle rushes forward too hard, the wheel speed will increase abnormally.

8. The method according to claim 7, characterized in that: The intelligent control algorithm comprehensively analyzes the changes in the above three parameters to determine whether the vehicle is in a slipping state; the specific judgment logic is as follows: Abnormal acceleration judgment: If the longitudinal acceleration becomes negative or increases abnormally, it is preliminarily judged that the vehicle may be in a slipping state; Abnormal tilt judgment: If the tilt sensor captures a significant tilt angle change, and the tilt angle is increasing (indicating that the vehicle is rolling), it is further confirmed that the vehicle is in a rolling state; Abnormal wheel speed judgment: If the wheel speed changes abnormally, including gradually decreasing or abnormally accelerating, it will serve as an auxiliary judgment basis to enhance the confirmation of the vehicle's slipping state; Based on the changes in the above three parameters, the intelligent control algorithm can accurately determine whether the vehicle is in a slipping state; once it is confirmed that the vehicle is slipping, the intelligent control unit will immediately generate a braking command and send it to the brake actuator through the internal communication interface to execute the braking action to prevent the occurrence of slipping accidents.

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